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Coexpression network revealing the plasticity and robustness of population transcriptome during the initial stage of domesticating energy crop Miscanthus lutarioriparius

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Coexpression network revealing genes with Co-variation Expression pattern (CE) and those with Top rank of Expression fold change (TE) played different roles in responding to new environment of Miscanthus lutarioriparius.

Abstract

Variation in gene expression level, the product of genetic and/or environmental perturbation, determines the robustness-to-plasticity spectrum of a phenotype in plants. Understanding how expression variation of plant population response to a new field is crucial to domesticate energy crops. Weighted Gene Coexpression Network Analysis (WGCNA) was used to explore the patterns of expression variation based on 72 Miscanthus lutarioriparius transcriptomes from two contrasting environments, one near the native habitat and the other in one harsh domesticating region. The 932 genes with Co-variation Expression pattern (CE) and other 932 genes with Top rank of Expression fold change (TE) were identified and the former were strongly associated with the water use efficiency (r ≥ 0.55, P ≤ 10−7). Functional enrichment of CE genes were related to three organelles, which well matched the annotation of twelve motifs identified from their conserved noncoding sequence; while TE genes were mostly related to biotic and/or abiotic stress. The expression robustness of CE genes with high genetic diversity kept relatively stable between environments while the harsh environment reduced the expression robustness of TE genes with low genetic diversity. The expression plasticity of CE genes was increased less than that of TE genes. These results suggested that expression variation of CE genes and TE genes could account for the robustness and plasticity of acclimation ability of Miscanthus, respectively. The patterns of expression variation revealed by transcriptomic network would shed new light on breeding and domestication of energy crops.

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Abbreviations

WGCNA:

Weighted gene coexpression network analysis

CE:

Co-variation expression pattern

TE:

Top rank of expression fold change

JH:

Jiangxia in Hubei Province

QG:

Qingyang in Gansu Province

WUE:

Water use efficiency

A:

CO2 assimilation rate

E:

Transpiration rate

FPKM:

Expected number of fragments per kilobase of transcript sequence per millions base pairs sequenced

ANOVA:

Analysis of variance

TO:

Topological overlap

ME:

Module eigengene

GO:

Gene ontology

KEGG:

Kyoto encyclopedia of genes and genomes

SNPs:

Single-nucleotide polymorphism

dS :

The synonymous substitution rates

dN :

Non-synonymous substitution rates

E p :

Average expression level

E d :

Expression diversity

π:

Genetic diversity

NC:

Non-differential change

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Acknowledgements

This study was supported by the National Key Research and Development Program of China (No. 2016YFC0500905), the grants from the National Natural Science Foundation of China (31000147; 31400284), the Project for Autonomous Deployment of the Wuhan Botanical Garden (55Y755271G02) and the Science and Technology Service Network Initiative of the Chinese Academy of Sciences (KFJ-EW-STS-061).

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TS conceived and designed the experiments. SX, ZS, JY, CL and LK performed the experiments. SX, ZS and WL performed data analysis. SX, CT, JY and TS wrote the manuscript. All authors read and approved the final manuscript.

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Correspondence to Tao Sang.

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The authors declare that they have no conflict of interest.

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**ng, S., Tao, C., Song, Z. et al. Coexpression network revealing the plasticity and robustness of population transcriptome during the initial stage of domesticating energy crop Miscanthus lutarioriparius. Plant Mol Biol 97, 489–506 (2018). https://doi.org/10.1007/s11103-018-0754-5

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  • DOI: https://doi.org/10.1007/s11103-018-0754-5

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